HiTSEE KNIME: a visualization tool for hit selection and analysis in high-throughput screening experiments for the KNIME platform.

Hendrik Strobelt, Enrico Bertini, Joachim Braun, Oliver Deussen, Ulrich Groth, Thomas U. Mayer, Dorit Merhof

    Research output: Contribution to journalArticlepeer-review

    Abstract

    We present HiTSEE (High-Throughput Screening Exploration Environment), a visualization tool for the analysis of large chemical screens used to examine biochemical processes. The tool supports the investigation of structure-activity relationships (SAR analysis) and, through a flexible interaction mechanism, the navigation of large chemical spaces. Our approach is based on the projection of one or a few molecules of interest and the expansion around their neighborhood and allows for the exploration of large chemical libraries without the need to create an all encompassing overview of the whole library. We describe the requirements we collected during our collaboration with biologists and chemists, the design rationale behind the tool, and two case studies on different datasets. The described integration (HiTSEE KNIME) into the KNIME platform allows additional flexibility in adopting our approach to a wide range of different biochemical problems and enables other research groups to use HiTSEE.

    Original languageEnglish (US)
    Article numberS4
    Pages (from-to)S4
    JournalBMC bioinformatics
    Volume13 Suppl 8
    DOIs
    StatePublished - 2012

    ASJC Scopus subject areas

    • Structural Biology
    • Biochemistry
    • Molecular Biology
    • Computer Science Applications
    • Applied Mathematics

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